<i>Considering Matthew Shepard</i> : normative and anti-normative queer spatial narratives and the politics of performance in choral music
Bibliographic record
Abstract
I present a cultural geographical analysis of the recent choral composition Considering Matthew Shepard. I explore the cultural, musical, and emotional geographies of this piece of music, in terms of its content and my experience of rehearsing and then performing the piece as a member of the choir. Drawing on cultural geography, musical geography, and queer theory, I argue that the memorializing of Matthew Shepard’s killing through this musical setting both repeats and challenges the normative popular and academic framings of Shepard’s murder and, more generally, queer critiques of the memorialization and historicization of lesbian, gay, bisexual, transgender, and queer pasts. I explore this by examining three spatial themes in Considering Matthew Shepard: its representations of (1) Wyoming, (2) the fence (where Shepard was left by his assailants), and (3) universality. I also point to what musical geographies might gain in looking more closely at choral music performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.023 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".